diff --git a/src/agora/utils/kymograph.py b/src/agora/utils/kymograph.py
index e10d4fb4ad8a98bfc9388debac0c934be339ed11..276bb3cd207222626c60483e9932bdb4fd022e60 100644
--- a/src/agora/utils/kymograph.py
+++ b/src/agora/utils/kymograph.py
@@ -6,7 +6,7 @@ import numpy as np
 import pandas as pd
 from sklearn.cluster import KMeans
 
-from agora.utils.indexing import validate_associatio n
+from agora.utils.indexing import validate_association
 
 index_row = t.Tuple[str, str, int, int]
 
@@ -122,7 +122,9 @@ def bidirectional_retainment_filter(
 def melt_reset(df: pd.DataFrame, additional_ids: t.Dict[str, pd.Series] = {}):
     new_df = add_index_levels(df, additional_ids)
 
-    return new_df.melt(ignore_index=False, var_name="time (minutes)", value_name="signal").reset_index()
+    return new_df.melt(
+        ignore_index=False, var_name="time (minutes)", value_name="signal"
+    ).reset_index()
 
 
 # Drop cells that if used would reduce info the most